Latent variable graphical model selection via convex optimization

6 August 2010

Papers citing "Latent variable graphical model selection via convex optimization"

7 / 57 papers shown

Title
Group Symmetry and Covariance Regularization P. Shah V. Chandrasekaran 52 27 0 30 Nov 2011
Learning a Factor Model via Regularized PCA Yi-Hao Kao Benjamin Van Roy 61 18 0 26 Nov 2011
Learning the Dependence Graph of Time Series with Latent Factors A. Jalali Sujay Sanghavi CML 57 44 0 09 Jun 2011
Finding Dense Clusters via "Low Rank + Sparse" Decomposition Samet Oymak B. Hassibi GNN 42 57 0 27 Apr 2011
Bayesian Nonparametric Covariance Regression E. Fox David B. Dunson 70 103 0 11 Jan 2011
Robust Matrix Decomposition with Outliers Daniel J. Hsu Sham Kakade Tong Zhang 60 24 0 05 Nov 2010
Rank-Sparsity Incoherence for Matrix Decomposition V. Chandrasekaran Sujay Sanghavi P. Parrilo A. Willsky CML 68 1,111 0 11 Jun 2009